Work

Decoding girls’ STEM high school choices: Ability, confidence, stereotypes

Year: 2026

Type: article

Abstract: The underrepresentation of females in STEM fields hinders productivity and perpetuates labor market inequalities. In countries where children are tracked into educational trajectories from high school (as in Italy, 8th grade), it is crucial to understand what drives gendered pathways before educational segregation starts. Collecting experimental and survey data from Italian 8th graders, we find that perceived advantageous comparisons with peers in math ability and counter-stereotypical beliefs increase the likelihood that girls enroll in a math-intensive track during high school. Policy initiatives improving girls’ expectations about their relative math performance may thus encourage female students to pursue STEM tracks.

Source: Journal of Policy Modeling

DOI: 10.1016/j.jpolmod.2026.107046

Authors: Dominique Cappelletti, M. Vittoria Levati, Matteo Ploner

Institutions: University of Verona, University of Trento

Language: English

Topic: Career Development and Diversity

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Quality education, Reduced inequalities, Gender equality

Open Access status: hybrid

Estimated APC paid: $1,500